Sr. Director - Enterprise AI Enablement

Job Description Summary

The Senior Director, Enterprise AI Enablement is an experienced people leader accountable for a major department or complex enterprise function that enables the successful adoption, scaling, and sustained value realization of artificial intelligence across OhioHealth. In alignment with the OhioHealth Management career framework M4 level, this role leads through subordinate managers, translates strategy into operational execution, and is accountable for priorities, operating plans, budgets, staffing approaches, quality, and compliance for the AI enablement portfolio.

This role serves as the enterprise enablement leader for the OhioHealth AI program, ensuring that AI capabilities delivered by Technology and Digital teams are prioritized appropriately, adopted consistently, governed responsibly, and embedded into clinical and operational practice. While technology delivery organizations remain accountable for building and operating AI platforms, models, and systems, this role is accountable for translating strategy into disciplined operational execution and measurable enterprise outcomes across multiple teams and stakeholder groups.

Operating within a broader Enablement organization, the role leads a federated model with a centralized AI enablement team and leadership through managers and dotted‑line relationships across distributed teams embedded within service lines and functions. Through operating standards, governance, prioritization, and shared ways of working, the Senior Director aligns decentralized efforts while preserving flexibility, accountability, and speed.

The role works in close partnership with Technology Delivery, Data & Analytics, Epic, Digital, Security, Clinical and Operational leaders to mature OhioHealth’s AI ecosystem from pilots to trusted, enterprise ready capabilities.

Responsibilities and Duties

• Enterprise AI Enablement Strategy: Lead execution of the enterprise AI enablement strategy, translating OhioHealth priorities and the broader Technology and Digital roadmap into operating plans, priorities, and measurable outcomes.
• Direct operational execution of prioritized AI initiatives across clinical and operational settings to achieve adoption, workflow integration, and measurable business results.
• Establish and maintain enterprise operating standards for how AI initiatives are identified, prioritized, governed, adopted, and measured.
• Align enterprise demand, implementation sequencing, and delivery capacity to support disciplined execution against system priorities.
• Federated Operating Model & Enablement: Lead the central Enterprise AI Enablement function through subordinate managers, with accountability for team performance, staffing approaches, operating discipline, and the development of standards, playbooks, adoption patterns, and measurement.
• Provide leadership and coordination across distributed AI and analytics leaders in service lines and functions to ensure alignment with enterprise standards, priorities, and adoption expectations.
• Establish scalable support structures, change networks, and leadership routines that build local capability and sustain adoption across the system.
• Define decision rights, escalation paths, and shared operating practices between centralized and distributed teams.
• Sponsor enterprise communities of practice that strengthen capability, consistency, and knowledge sharing across AI‑related teams.
• Partnership with Technology Delivery & Platforms: Partner with Technology Delivery, Data Engineering, AI Platform, Epic, and Digital leaders to align enablement priorities, implementation standards, and production readiness expectations.
• Serve as the enterprise coordination point between use‑case demand and technical delivery, shaping sequencing, readiness, and adoption plans that support system priorities.
• Use Case Intake, Prioritization, and Adoption: Own the enterprise intake and prioritization process for AI use cases, including criteria, governance routing, and readiness expectations.
• Partner with clinical and operational leaders to define business outcomes, readiness requirements, adoption measures, and accountability for sustained use.
• Ensure AI capabilities are embedded into workflows, management routines, and decision processes in ways that support sustained adoption and value realization.
• Governance, Trust, and Responsible AI: Lead operational support for enterprise AI governance bodies, review processes, and decision forums.
• Ensure enablement practices align with information security, privacy, compliance, and responsible AI requirements.
• Promote transparency around model purpose, limitations, and appropriate use.
• AI Literacy and Capability Development: Build enterprise AI literacy across leader, clinical, and operational audiences to support informed adoption and responsible use.
• Deploy scalable education, guidance, and reference patterns that enable teams to adopt AI consistently and responsibly.
• Support development of enterprise capability, leadership depth, and talent pathways across the AI and analytics ecosystem.
• Executive Enablement and Communication: Serve as a trusted partner to senior leaders, physicians, and operational stakeholders, influencing decisions about AI enablement, adoption and enterprise priorities.
• Provide senior leaders with clear reporting on AI adoption, maturity, risks, and realized value.
• Translate technical progress and portfolio status into actionable business insights that support prioritization and leadership decision‑making.
• INFORMATION SECURITY: Maintain confidentiality of credentials and sensitive information.
• Ensures compliance with all OhioHealth information security and privacy policies.
• Promptly reports security incidents or responsible‑AI concerns.
• SUCCESS MEASURES: Enterprise adoption of prioritized AI capabilities.
• Clear alignment between AI delivery and business outcomes.
• Trusted, repeatable governance and enablement practices.
• Reduced duplication and uncontrolled AI sprawl.
• Increased confidence and fluency in AI‑enabled decision‑making across the organization.
• As a High Reliability Organization (HRO), responsibilities require focus on safety, quality and efficiency in performing job duties.
• The job profile provides an overview of responsibilities and duties and is not intended to be an exhaustive list and is subject to change at any time.

Minimum Qualifications

Bachelor's Degree (Required), Master’s Degree.

• Bachelor’s degree required; Master’s degree or equivalent experience preferred.
• 10+ years of progressive experience in healthcare technology, analytics, digital enablement, or large‑scale operational improvement, including significant leadership responsibility.
• 5+ years of experience leading managers and/or multiple related teams with accountability for enterprise initiatives spanning business units and technical teams.
• Demonstrated experience enabling adoption of advanced technology capabilities (AI, analytics, automation, or digital platforms).
• Proven success operating in matrixed environments using influence rather than direct authority.
• Minimum 3‑year commitment to role.

Specialized Knowledge

• Strong working knowledge of AI concepts and solution patterns, including predictive analytics, generative AI, decision support, and automation.
• Proven experience driving change across operational organizations with expertise in change management.
• Strong understanding of emerging technologies with established relationships in startup communities.
• Experience enabling responsible and scalable AI adoption in healthcare or regulated environments.
• Understanding of federated enablement models, communities of practice, and enterprise standards.
• Familiarity with healthcare operations and AI use cases across clinical care, access, revenue cycle, operations, and experience.
• Practical understanding of AI governance, security, privacy, and compliance considerations.
• Ability to translate complex technical capabilities into understandable, actionable concepts for leaders and frontline teams.

Desired Attributes

• Experienced people leader who develops leaders, drives adoption, and creates clarity and consistency across multiple teams.
• Pragmatic, systems‑thinking mindset focused on reuse and scale.
• Strong collaborator across technology delivery and business teams.
• Comfortable navigating ambiguity and rapidly evolving AI capabilities.
• Clear, credible communicator with executives, clinicians, and technologists.

Work Shift

Day

Scheduled Weekly Hours

40

Department

IS Adminlstration

Equal Employment Opportunity

OhioHealth is an equal opportunity employer and fully supports and maintains compliance with all state, federal, and local regulations. OhioHealth does not discriminate against associates or applicants because of race, color, genetic information, religion, sex, sexual orientation, gender identity or expression, age, ancestry, national origin, veteran status, military status, pregnancy, disability, marital status, familial status, or other characteristics protected by law. Equal employment is extended to all person in all aspects of the associate‑employer relationship including recruitment, hiring, training, promotion, transfer, compensation, discipline, reduction in staff, termination, assignment of benefits, and any other term or condition of employment.

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